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©2012 IBM Corporation
Smarter Analytics with IBM Power Systems
Zarina StanfordVice President, IBM Power Systems MarketingZarina StanfordVice President, IBM Power Systems Marketing
2012 IBM Systems Technical Conference
©2012 IBM Corporation2
The rapid adoption of cloud computing
Business advantages created through
data and analytics
Increased focus on security
Emergence of social and mobile
Consolidation and integration of IT infrastructure
Five mega-trends are accelerating the new era of IT
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Big Data: This is Just the Beginning
2010
Vol
ume
in E
xaby
tes
9000
8000
7000
6000
5000
4000
3000
2015
Percentage of uncertain data
Percent of uncertain data
100
80
60
40
20
0
We are here
Sensors & Devices
VoIP
Enterprise Data
Social Media
Source: IBM Global Technology Outlook - 2012
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Big Data: More Than Just Volume
Volume
Terabytes to exabytes of existing data to process
Velocity
Streaming data, milliseconds to seconds to respond
Variety
Structured, unstructured, text and multimedia
Veracity
Uncertainty from inconsistency, ambiguities, etc.
2012 IBM Systems Technical Conference
©2012 IBM Corporation5
A Data ready infrastructure enables…
A Data ready infrastructure delivers more actionable insight
83%
48% The estimated increase in digital content from 2011 to 20122
of CIOs ranked business intelligence and analytics as high priority in their visionary plans1
1 Source: 2011 IBM CIO Study2 Source: IDC Predictions 2012: Competing for 20201 Source: 2011 IBM CIO Study2 Source: IDC Predictions 2012: Competing for 2020
Actionable insights on operational data
Maximum availability of business insight
Managed risk for business operations
2012 IBM Systems Technical Conference
©2012 IBM Corporation
6
You know Power Systems as the ultimate system for compute intensive workloads
IBM WatsonWinner against 2 Jeopardy!
Champions
IBM WatsonWinner against 2 Jeopardy!
Champions
1.7X more database
performance per core
125%more SAP SD Users than best Intel
LLNL SequoiaWorld’s Fastest Supercomputer
LLNL SequoiaWorld’s Fastest Supercomputer
reduction in floor spacereduction in energy reduction in licensed cores
80% consolidation
Performance
Scalability
Virtualization
Availability
Security
16petaflopsLLNL Sequoia
high performance analytics, high performance computing & high performance UNIXhigh performance analytics, high performance computing & high performance UNIX
2012 IBM Systems Technical Conference
©2012 IBM Corporation
IBM Power Systems is uniquely positioned to address clients big data infrastructure challenges
7
Better performance with POWER7+, ideal for business analytics
40%
To process 200 million pages of structured & unstructured data
Defeated Jeopardy! world champions by IBM Watson2
Raw transactions turned into actionable insights*20 billion
*Fiserv (case study)*Fiserv (case study)
3 seconds
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Guangdong Hospital (Southern China)
8
Need
• Wanted to capture, share and perform empirical studies on outcomes information from its use of traditional Chinese treatments and compare these with Western treatments used to explore alternative or complementary therapies.
Solution
• IBM Power Systems servers• IBM DB2• IBM Cognos Business Intelligence• IBM InfoSphere Data Warehouse
Results
• Simplified integrating, storing and analyzing large amounts of data
• Provide the full context for all clinical data, facilitating more meaningful aggregation as well as better understanding of each case
• Enable the hospital to use accepted standards for managing clinical and business data, with full support for its data warehouse model and standard BI tools
Analyzing patient data to compare efficacy of traditional versus western medicinesAnalyzing patient data to compare efficacy of traditional versus western medicines
Healthcare
Click here for Case StudyClick here for Case Study
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Grupo Martins (Brazil)
9
Need
• Increase sales and revenue for its 13,000 different products a month to more than 750,000 customers including supermarkets, pharmacies, veterinary supply stores, building supply stores and other retailers across Brazil.
Solution
• IBM Power 780 (POWER7) running AIX• IBM System Storage DS8800• IBM Cognos Business Intelligence• IBM Software Services – Cognos Lab
Services
Results
• Increased revenue by 17 percent as a result of accurate and speedy predictive analytics
• Raised telesales revenue by 14 percent and increased sales contracts by 13 percent by through cross-sales opportunities
• Accelerated the decision-making process by enabling its staff to instantly collaborate on the BI information
Boosts telesales revenue by deploying IBM analytics on Power SystemsBoosts telesales revenue by deploying IBM analytics on Power Systems
Consumer Products
Click here for Grupo Martin w3 Client ReferenceClick here for Grupo Martin w3 Client Reference
2012 IBM Systems Technical Conference
©2012 IBM Corporation 10
Need
• Improve services and control costs for its 3.3 million clients
• Tackling an alarming 25% rate of duplicate and falsified insurance policies
• Gain access to a wider range of information sources to aid insurers in decision-making and risk management
Solution
• IBM Power Systems running AIX• IBM Cognos Business Intelligence• IBM DB2• IBM InfoSphere Data Warehouse• IBM Global Services
Results
• Reduce duplication of records to virtually 0%, while steadily reducing the incidence of fraudulent claims
• Reduced by 12% the number of drivers that where violating the mandatory insurance coverage law
• Faster and more accurate decisions regarding risk and pricing
Guarantee Fund (Bulgaria)
Raises the bar for fraud prevention and pricing accuracy with IBM business analyticsRaises the bar for fraud prevention and pricing accuracy with IBM business analytics
Insurance
Click here for GF w3 Client ReferenceClick here for GF w3 Client Reference
Raises the bar for fraud prevention and pricing accuracy with IBM business analytics
10
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Sui Southern Gas Company Limited (Pakistan)
11
Need
• Real time tracking & predicting of changing patterns of supply and demand for natural gas to its 2.2 million customers
• Enables quick identification of leaks and pilferage• Automatic and instantaneous refresh of reports
Solution
• IBM Power Systems running AIX• IBM System Storage DS5300• IBM Cognos Business Intelligence and TM1• IBM InfoSphere Data Warehouse • IBM DB2 and IBM WebSphere• IBM General Parallel File System
Results
• Replaced monthly time-consuming creation of static reports with user-driven reporting with real-time updates
• Gained a single trusted version of information
• Improved speed and clarity of insight into supply and demand issues
Mitigates business risk through better insight into supply and demandMitigates business risk through better insight into supply and demand
Click here for SSGC Case StudyClick here for SSGC Case Study
Energy and Utility
2012 IBM Systems Technical Conference
©2012 IBM Corporation
These clients are using all types of analytics against all types of data on IBM Power Systems
PowerSystems
Operational reports
Analytic reports
Statistical Analysis
Forecasting
Predictive Modeling
Optimization
Social Analytics
Web Analytics
Alerts
Transactional & Application Data
Machine & Sensor Data
Social Data
Enterprise Content
Web Data
Documents
Spatial Analysis
Cognitive Analysis
12
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Power takes analytics performance to a new level for better decision-making to improve the customer experience.Power takes analytics performance to a new level for better decision-making to improve the customer experience.
Business analytics for real time insightsBusiness analytics for real time insights
4x more throughput compared to Oracle Exadata on x86
POWER7+ processors & architecture
AIX Solution Editions for Cognos and SPSS
PowerHA HyperSwap
deliver up to 40% more performance, ideal for data and advanced analytics workloads
enable rapid performance of business and predictive analytics
for continuous data access in the event of storage failures and enables storage maintenance and migration without downtime
2012 IBM Systems Technical Conference
©2012 IBM Corporation
POWER7+ Processors & Architecture
Detect patterns
…stop crime before it happens
Real-time analytics enables:Higher case closingsImproved officer safety and resource allocation
NYPD Case Study
Deliver up to 40% more performance, ideal for data and business analytics workloads
Greater Scalability and Flexibility• 20 Virtual Machines per core• Elastic Capacity on Demand
Faster Performance• 10 MB L3 Cache• up to 4.4 GHz POWER7+ processors• Memory Compression Accelerator • Random number generator• Enhanced Single Precision Floating Point performance• Enhanced GX system bus
Better Availability & Security• Self-healing capability for L3 Cache functions• Dynamic processor fabric bus repair• Processor re-initialization• Hardware encryption support for AIX
More Energy Efficient• Delivering 5x more performance per watt• Enhanced energy / power gating
14
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Delivering Faster InsightsDelivering Faster Insights
Predicting Outcomes Faster
AIX Solution Edition For Cognos and SPSS
Leveraging IBM business and predictive analytics software Optimization on IBM Power Systems
40% better performance with Cognos BI V10.1.1 on POWER7/AIX 7.1,
over Windows 2008 on x86
22% better performance with SPSS Collaboration and Deployment Services V4.2
on POWER7/AIX 7.1, over Windows 2008 on x86
Hardware incentives:
•½ processor activations at no-charge•50% discount on AIX licensesFor more information: http://www.ibm.com/systems/power/hardware/solutioneditions/aix/index.html
• AIX Standard or Enterprise Edition• PowerVM Std or Ent Edition• Power 710, 720, 730, 740• WebSphere
15
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Elastic Capacity (CoD) for Power System Pools
A smarter approach to meeting the growing data challenges that improves IT economics
Pool-wide capacity on demand for
improved flexibility
For Business Analytics, enables sharing of resources across pooled systems improving availability & ensuring access to data during planned and unplanned maintenance.
16
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Multi-Site PowerHA cluster with continuous storage availability
Non-disruptive…applications keep running in the event of a storage outage
Storage maintenance without downtime
Storage migration without downtime
PowerHA HyperSwap
Continuous data access in the event of storage outages, storage maintenance and migration without downtime
17
2012 IBM Systems Technical Conference
©2012 IBM Corporation
IBM Power Systems Smarter Analytics Solutions
Delivered through superior performance and scaleDelivered through superior performance and scale
18
The ultimate system for high performance analytics
Expert Integrated Operational
Analytics Solution
PowerLinux Hadoop-based
Analytics Solution
Custom Designed Business Analytics
Solutions
2012 IBM Systems Technical Conference
©2012 IBM Corporation
IBM PowerLinux Big Data Solutions
IBM InfoSphere BigInsights for Hadoop-based Analytics
Data-at-motion
Analyze streaming data with multiple data types
Respond to millions of events per second as they happen
Data-at-motion
Analyze streaming data with multiple data types
Respond to millions of events per second as they happen
Data-at-rest
Enterprise-ready, out-of-the-box Hadoop-based solution
Analyze massive variety & volume of all data types
Explore data to understand potential value to business
Data-at-rest
Enterprise-ready, out-of-the-box Hadoop-based solution
Analyze massive variety & volume of all data types
Explore data to understand potential value to business
IBM InfoSphere Streams for Low-Latency
Analytics
PowerLinux rack servers
Management Node
Data Nodes
PowerLinux rack servers
OR
Flex System Compute Node
NEWOpen Source Apache Hadoop
Data-at-rest
Open source framework for distributed processing of large data sets across clusters of computers
Updated to run on PowerLinux and leverage Power7 architecture
Used in Watson
Data-at-rest
Open source framework for distributed processing of large data sets across clusters of computers
Updated to run on PowerLinux and leverage Power7 architecture
Used in Watson
2012 IBM Systems Technical Conference
©2012 IBM Corporation
Linux Community along with Analysts, Press and Clients Welcome PowerLinux
Watch the Community Video – IBM and partner experts discuss IBM and PowerLinux contributions to Linux
Read report from Laura Didio: IBMers BPs
Read the Forbes article by Roger Kay
Learn why clients are choosing PowerLinux
Jim Zemlin, Exec. DirectorThe Linux Foundation
Jim Totton, VP and GM of Platform Business Unit
Michael Miller, VP Global Alliances and Marketing
2012 IBM Systems Technical Conference
©2012 IBM Corporation
IBM PureData System for Operational AnalyticsOptimized exclusively for operational analytic data workloads
Speed Designed for 1000+ concurrent operational
queries Continuous ingest of operational data MPP analytics (Massively Parallel Processing)
Simplicity Fast time-to-value Automatic workload management Integrated backup on the system Integrated management and support
Scalability Multiple sizes with data capacity up to a Petabyte
Smart In-database analytics for leading applications Supports DB2 applications unchanged and
Oracle Database apps with minimal change Clients have experienced cases of 10x storage
space savings via Adaptive Compression
Delivering data services for operational analytics
21
2012 IBM Systems Technical Conference
©2012 IBM Corporation
PureData System for Operational Analytics Built-in expertise, integrated by design for a simplified experience
*Unformatted raw disk capacity
Servers IBM Power 730 & 740
16 Core servers @ 3.55GHz
Storage IBM Storwize V7000 with 900GB drives Ultra SSD I/O Drawers,
each with six 387GB SSD
Networking Blade Network Technologies 10G & 1G Ethernet switches Brocade SAN switches (SAN48B-5)
Scales to PB+
capacity*
22
Scalable to PB+*
Extra Small Small Medium Large
64.8 TB* 151.2 TB* 237.6 TB* 324 TB*
2012 IBM Systems Technical Conference
©2012 IBM Corporation23
Clients need an IT infrastructure that is…
23
Smarter Computing is the IT infrastructure that enables a smarter planet.Smarter Computing is the IT infrastructure that enables a smarter planet.
A secure cloud infrastructure enabling utmost efficiency for the delivery of critical business servicesCloud
Making critical data and actionable insights available and accessible in real time across the enterpriseData
Providing ultimate security for critical data, risk mitigation and enhanced compliance
Security
2012 IBM Systems Technical Conference
©2012 IBM Corporation2424
See what Power Systems can do for you
• View the October 3rd Smarter Computing announcement webcast – available in replay
• Hear how IBM Power Systems is Data Ready YouTube, and what clients are saying YouTube
• See the new IBM PureData System for Operational Analytics
• Learn more about Power Systems throughPower Systems education and training
• Visit Power Systems at an event near you
• Find a local Business Partner
• Continue the conversation with Power experts through social media & hear more Power client transformations on YouTube
www.ibm.com/powerwww.ibm.com/power
Click icons to join usClick icons to join us
2012 IBM Systems Technical Conference
©2012 IBM Corporation
We can help you along the journey
Lab Services
• Comprehensive, interactive assessments and training • Proofs-of-concept, Architecture, Implementation & Testing• For IT Administrators, IT Architects, Database Administrators
Global Financing
• 0% lease program• Deferred payment program for 6 months• Financing and asset buyback / disposal
Global Technology & Infrastructure Services
• System migration assessments• Business continuity and resiliency services• Data center facility services
Cloud Ready
Data Ready
Security Ready
2012 IBM Systems Technical Conference
©2012 IBM Corporation
www.ibm.com/powerwww.ibm.com/power
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